Senior Machine Learning Engineer - Remote - USA

🌍 Remote, USA 🚀 Full-time 🕐 Posted Recently

Job Description

The Position

    We're looking to hire a Senior Machine Learning Engineer to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.
    What We Are Looking For
  • 5+ years of professional experience as a Machine Learning Engineer.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Proven experience designing, developing, and optimizing machine learning models.
  • Hands-on experience integrating machine learning solutions into production systems and applications.
  • Strong background in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Demonstrated experience building and deploying scalable ML pipelines in cloud environments.
  • Proven experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Deep experience in working with large datasets and distributed data processing tools.
  • Practical experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML systems.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure for ML model deployment and scaling.
  • Solid understanding of APIs and integrating ML models into backend services.
  • Knowledgeable in performance optimization, scalability, and reliability of ML-driven systems.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 40 hours per week.
    What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, maternity and paternity leave, holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

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